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Siemens South Africa, Bloemfontein, seeks a Digital Twin Solutions Engineer with 5+ years in digital twin development, simulation, or related fields.
You will design, implement, and optimize digital twin models for manufacturing assets, integrating sensors, PLC data, and ERP information on Siemens' industrial IoT platform.
Position:Digital Twin Solutions Engineer
Company:Siemens South Africa
Location:Bloemfontein, South Africa
Experience:5+ years in digital twin development, simulation, or related fields
Education:Bachelor's degree in Mechanical Engineering, Computer Science, or related discipline
Employment Type:Full-time
Industry:Advanced Manufacturing
Department:Engineering
Salary:SSP 600,000 - 900,000 per annum
Vacancies:1
Siemens South Africa is a leading global technology powerhouse, delivering innovative solutions across energy, automation, and digital industries. With a strong presence in South Africa for over a century, Siemens combines cutting-edge research with local expertise to drive the nation’s industrial transformation. The company’s commitment to sustainability, smart manufacturing, and Industry 4.0 positions it as a preferred employer for professionals seeking to shape the future of production. As part of Siemens’ worldwide network, the Bloemfontein office collaborates closely with research centres, universities, and partner firms to develop next-generation digital solutions that enhance efficiency, reduce waste, and improve product quality.
Employees at Siemens enjoy a collaborative culture that encourages continuous learning, cross-functional teamwork, and a focus on delivering measurable impact for customers. The organisation's values of responsibility, excellence, and innovation are reflected in every project, making it an ideal environment for engineers who thrive on solving complex challenges. Siemens South Africa is also recognised for its robust corporate social responsibility programmes, supporting STEM education and community development across the country.
The Digital Twin Solutions Engineer will lead the design, implementation, and optimisation of digital twin models for manufacturing assets and processes. Working within the Advanced Manufacturing division, you will translate physical system data into high-fidelity virtual replicas that enable predictive maintenance, performance optimisation, and rapid prototyping. This role requires close collaboration with product designers, data scientists, and operations teams to ensure that digital twins deliver actionable insights and tangible business value.
As part of your responsibilities, you will engage with customers to understand their operational challenges, propose tailored digital twin strategies, and oversee the end-to-end deployment of solutions on Siemens' industrial IoT platform. You will also contribute to the continuous improvement of Siemens' digital twin framework, incorporating emerging technologies such as AI-driven analytics, edge computing, and augmented reality visualisations.
A Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field is required. Advanced degrees or certifications in simulation, data analytics, or Industry 4.0 technologies are highly desirable.
Minimum of five years' experience in digital twin development, systems engineering, or advanced manufacturing solutions. Proven track record of delivering end-to-end digital twin projects in an industrial setting is essential.
The role offers a competitive salary range of SSP 600,000 - 900,000 per annum, commensurate with experience and qualifications. Performance-based bonuses and incentives are also part of the remuneration package.
Based in Bloemfontein, the role offers a modern office environment equipped with state-of-the-art collaboration spaces, high-speed connectivity, and flexible work-from-home options. The team culture promotes innovation, knowledge sharing, and a strong focus on work-life balance.
Siemens South Africa is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, disability, or background. All qualified applicants will receive consideration for employment without discrimination.